Huanping Dai

1.0k total citations
53 papers, 756 citations indexed

About

Huanping Dai is a scholar working on Cognitive Neuroscience, Speech and Hearing and Signal Processing. According to data from OpenAlex, Huanping Dai has authored 53 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 15 papers in Speech and Hearing and 14 papers in Signal Processing. Recurrent topics in Huanping Dai's work include Hearing Loss and Rehabilitation (27 papers), Noise Effects and Management (15 papers) and Speech and Audio Processing (10 papers). Huanping Dai is often cited by papers focused on Hearing Loss and Rehabilitation (27 papers), Noise Effects and Management (15 papers) and Speech and Audio Processing (10 papers). Huanping Dai collaborates with scholars based in United States, France and Vietnam. Huanping Dai's co-authors include Beverly A. Wright, David M. Green, Christophe Micheyl, Bertram Scharf, So ren Buus, Robert D. Sorkin, Niek J. Versfeld, David M. Green, Quang Nguyen and Gerald Kidd and has published in prestigious journals such as Psychological Review, The Journal of the Acoustical Society of America and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Huanping Dai

53 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huanping Dai United States 17 630 244 167 166 129 53 756
Virginia M. Richards United States 18 973 1.5× 492 2.0× 287 1.7× 162 1.0× 249 1.9× 85 1.1k
Adrianus J. M. Houtsma United States 14 893 1.4× 239 1.0× 315 1.9× 218 1.3× 210 1.6× 56 1.0k
Robert A. Lutfi United States 22 1.2k 1.8× 693 2.8× 441 2.6× 291 1.8× 239 1.9× 99 1.3k
Thomas E. Hanna United States 12 363 0.6× 135 0.6× 124 0.7× 105 0.6× 62 0.5× 33 541
Barry Leshowitz United States 12 298 0.5× 84 0.3× 52 0.3× 72 0.4× 71 0.6× 37 425
Donald E. Robinson United States 12 345 0.5× 203 0.8× 86 0.5× 58 0.3× 113 0.9× 43 503
J. Donald Harris United States 12 346 0.5× 134 0.5× 82 0.5× 115 0.7× 90 0.7× 54 534
Gordon Z. Greenberg United States 8 391 0.6× 81 0.3× 44 0.3× 143 0.9× 47 0.4× 13 640
Roy D. Patterson United Kingdom 10 679 1.1× 144 0.6× 232 1.4× 137 0.8× 131 1.0× 13 783
J.F. Schouten Netherlands 5 422 0.7× 56 0.2× 89 0.5× 75 0.5× 70 0.5× 7 538

Countries citing papers authored by Huanping Dai

Since Specialization
Citations

This map shows the geographic impact of Huanping Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huanping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanping Dai more than expected).

Fields of papers citing papers by Huanping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huanping Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huanping Dai. The network helps show where Huanping Dai may publish in the future.

Co-authorship network of co-authors of Huanping Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Huanping Dai. A scholar is included among the top collaborators of Huanping Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huanping Dai. Huanping Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wright, Beverly A. & Huanping Dai. (2024). Musicians have an advantage on a spatial-hearing task only when they are highly trained, start training early, and continue to play. Hearing Research. 451. 109078–109078. 1 indexed citations
2.
Apoux, Frédéric, Régis Ferrière, Huanping Dai, et al.. (2023). Auditory discrimination of natural soundscapes. The Journal of the Acoustical Society of America. 153(5). 2706–2706. 10 indexed citations
3.
Patterson, Dianne, et al.. (2017). Neural Correlates of Morphology Acquisition through a Statistical Learning Paradigm. Frontiers in Psychology. 8. 1234–1234. 5 indexed citations
4.
Dai, Huanping & Christophe Micheyl. (2012). Separating the contributions of primary and unwanted cues in psychophysical studies.. Psychological Review. 119(4). 770–788. 3 indexed citations
5.
Dai, Huanping & Christophe Micheyl. (2011). Psychometric functions for pure-tone frequency discrimination. The Journal of the Acoustical Society of America. 130(1). 263–272. 29 indexed citations
6.
Dai, Huanping. (2010). Harmonic pitch: Dependence on resolved partials, spectral edges, and combination tones. Hearing Research. 270(1-2). 143–150. 4 indexed citations
7.
Dai, Huanping & Virginia M. Richards. (2010). On the theoretical error bound for estimating psychometric functions. Attention Perception & Psychophysics. 73(3). 919–926. 2 indexed citations
8.
Dai, Huanping & Christophe Micheyl. (2010). Psychophysical reverse correlation with multiple response alternatives.. Journal of Experimental Psychology Human Perception & Performance. 36(4). 976–993. 19 indexed citations
9.
Dai, Huanping & Christophe Micheyl. (2010). On the choice of adequate randomization ranges for limiting the use of unwanted cues in same-different, dual-pair, and oddity tasks. Attention Perception & Psychophysics. 72(2). 538–547. 14 indexed citations
10.
Micheyl, Christophe & Huanping Dai. (2009). Likelihood ratio, optimal decision rules, and relationship between proportion correct and d’ in the dual-pair AB-versus-BA identification paradigm. Attention Perception & Psychophysics. 71(6). 1426–1433. 6 indexed citations
11.
Dai, Huanping & Gerald Kidd. (2009). Limiting unwanted cues via random rove applied to the yes-no and multiple-alternative forced choice paradigms. The Journal of the Acoustical Society of America. 126(2). EL62–EL67. 6 indexed citations
12.
Dai, Huanping. (2008). On suppressing unwanted cues via randomization. Perception & Psychophysics. 70(7). 1379–1382. 5 indexed citations
13.
Dai, Huanping, Niek J. Versfeld, & David M. Green. (1996). The optimum decision rules in thesame-different paradigm. Perception & Psychophysics. 58(1). 1–9. 34 indexed citations
14.
Versfeld, Niek J., Huanping Dai, & David M. Green. (1996). The optimum decision rules for the oddity task. Perception & Psychophysics. 58(1). 10–21. 21 indexed citations
15.
Dai, Huanping, Quang Nguyen, & David M. Green. (1995). A two-filter model for frequency discrimination. Hearing Research. 85(1-2). 109–114. 11 indexed citations
16.
Kidd, Gerald, Christine R. Mason, & Huanping Dai. (1995). Discriminating coherence in spectro-temporal patterns. The Journal of the Acoustical Society of America. 97(6). 3782–3790. 17 indexed citations
17.
Kidd, Gerald & Huanping Dai. (1993). A composite randomization procedure for measuring spectral shape discrimination. The Journal of the Acoustical Society of America. 94(3). 1275–1280. 5 indexed citations
18.
Dai, Huanping & Bruce G. Berg. (1992). Spectral and temporal weights in spectral-shape discrimination. The Journal of the Acoustical Society of America. 92(3). 1346–1355. 12 indexed citations
19.
Green, David M. & Huanping Dai. (1991). Probability of being correct with 1 ofM orthogonal signals. Perception & Psychophysics. 49(1). 100–101. 25 indexed citations
20.
Dai, Huanping & Ruo Feng. (1988). Ultrasonic attenuation in red blood cell suspensions. Ultrasonics. 26(3). 168–170. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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